2020-06-25 14:29:15
Author: Cedric Huchuan Xia (email, github)
Affiliation: Penn Lifespan Informatics and Neuroimaging Center (PennLINC)
1. Setup Environment
require(reshape2)
require(sna)
require(tidyr)
project_path = "~/Documents/xia_gps/"
data_path = file.path(project_path,"data/flywheel_data/network_txt")
2. Setup Target and Database FC
atlases = c("HarvardOxford","desikanKilliany","aal116","schaefer200x7","power264","gordon333","glasser360","schaefer400x7")
subj_net_files_1 = list()
subj_net_files_2 = list()
for (atlas in atlases) {
subjects = list.files(file.path(data_path))
for (subj in subjects) {
subj_files = list.files(file.path(data_path,subj))
net_pattern_1 = paste0("*task-rest*single*",atlas,"*")
net_pattern_2 = paste0("*task-rest*multi*",atlas,"*")
file_path_1 = file.path(data_path,
subj,subj_files[grep(glob2rx(net_pattern_1),subj_files)])
file_path_2 = file.path(data_path,
subj,subj_files[grep(glob2rx(net_pattern_2),subj_files)])
if (length(file_path_1)>0) {subj_net_files_1[[atlas]][[subj]] = read.table(file_path_1) }
if (length(file_path_2)>0) {subj_net_files_2[[atlas]][[subj]] = read.table(file_path_2) }
}
}
Visutalize FC matrix
matrix_fc = matrix(NA, 264,264)
matrix_fc[lower.tri(matrix_fc, diag = F)] = subj_net_files_1$power264[[1]][,1]
matrix_fc = symmetrize(matrix_fc, rule = "lower")
levelplot(matrix_fc,scales=list(draw=FALSE),col.regions = rev(rainbow(80))[-c(1:5)], region =T, ylab.right = "Pearson correlation", main=list(label='Singleband FC'),xlab="",ylab="")

4. Create Subj Similarity Matrix
gps_wide_matrix = data.frame()
for (subj in arrange(subj_days,`Days Collected`)$IID){
#if ((subj %in% subj_days$IID[which(subj_days$`Days Collected`<=10)]) == T) {
for (part in 1:1){
half_1 = gps_clean2_feature$subj_mat_1[[subj]][[part]]$cor
half_2 = gps_clean2_feature$subj_mat_2[[subj]][[part]]$cor
half_1_half_2 = c(half_1,half_2)
gps_wide_matrix = rbind(gps_wide_matrix,half_1)
gps_wide_matrix = rbind(gps_wide_matrix,half_2)
}
#}
}
gps_wide_matrix = t(gps_wide_matrix)
gps_corplot = rquery.cormat(gps_wide_matrix, type = "full",graph=FALSE)
gps_corplot$subj = arrange(subj_days,`Days Collected`)$IID
levelplot(gps_corplot$r,scales=list(draw=FALSE),col.regions = rev(rainbow(1000))[-c(1:20)], region =T, ylab.right = "Pearson correlation", main=list(label='GPS Feature Similarity'),xlab="",ylab="")


fc_corplot$schaefer400x7$plot

fc_corplot$schaefer200x7$plot

fc_corplot$power264$plot

5. Create FC Atlas Similarity Matrix
fc_cor_r = lapply(fc_corplot, function(atlas) atlas$sim_mat$r[lower.tri(atlas$sim_mat$r)])
fc_cor_r_cor = lapply(fc_cor_r, function(r1) sapply(fc_cor_r, function(r2) cor.test(r1,r2)))
fc_cor_r_cor_mat = sapply(fc_cor_r_cor, function(atlas) atlas['estimate',])
levelplot(fc_cor_r_cor_mat,col.regions = rev(rainbow(100))[-c(1:20)],
region =T, ylab.right = "Pearson correlation",
main=list(label=paste('FC Atlas Similarity Matrix')), xlab="",ylab="",
scales=list(x=list(at = 1:length(atlases), labels=atlases,rot=90, tck = 0),
y=list(at = 1:length(atlases),labels=atlases, tck = 0)))

6. Compute Whole Brain FC-GPS Similarity Matrix Correlations
wbFC_gps_cor = unlist(sapply(fc_cor_r, function(atlas) cor.test(atlas, gps_corplot$r[lower.tri(gps_corplot$r)]))[c('estimate'),])
Warning messages:
1: In readChar(file, size, TRUE) : truncating string with embedded nuls
2: In readChar(file, size, TRUE) : truncating string with embedded nuls
3: In readChar(file, size, TRUE) : truncating string with embedded nuls
4: In readChar(file, size, TRUE) : truncating string with embedded nuls
5: In readChar(file, size, TRUE) : truncating string with embedded nuls
6: In readChar(file, size, TRUE) : truncating string with embedded nuls
7: In readChar(file, size, TRUE) : truncating string with embedded nuls
8: In readChar(file, size, TRUE) : truncating string with embedded nuls
9: In readChar(file, size, TRUE) : truncating string with embedded nuls
wbFC_gps_cor_df = data_frame(atlas = gsub("\\..*","",names(wbFC_gps_cor)), corr = wbFC_gps_cor)
p = ggplot(data=wbFC_gps_cor_df, aes(x=atlas, y=corr)) +
geom_bar(stat="identity") + scale_y_continuous(limits=c(-0.5,0.5)) +
theme_cowplot() + theme(axis.text.x = element_text(angle = 45, vjust = 0.5)) +
ylab("FC-GPS Similarity Matrices Correlatons") + xlab("")
p

7. Match FC target to database

8. Permutation Test for Matching
subj_net_perm_1 = get_subj_net_perm(subj_net_files_1)
Error in sample(length(subj_net_files[[atalas]])) :
object 'atalas' not found
data_long <- gather(perm_acc, key = "atlas", value = "accuracy", atlases)
Note: Using an external vector in selections is ambiguous.
[34mℹ[39m Use `all_of(atlases)` instead of `atlases` to silence this message.
[34mℹ[39m See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
[90mThis message is displayed once per session.[39m

get_com_fc_accuracy = function(atlas_now){
com_nums = read.table(file.path(atlas_path,atlas_now,paste0(atlas_now,"CommunityAffiliation.1D")))$V1
com_names = read.table(file.path(atlas_path,atlas_now,paste0(atlas_now,"CommunityNames.txt")))$V1
com_names = substr(com_names,0,3)
if (atlas_now == "power264") {com_names[c(1,2)] = c("smH","smM")}
fc_com_1 = get_fc_com(com_nums, com_names, atlas_now, subj_net_files_1)
fc_com_2 = get_fc_com(com_nums, com_names, atlas_now, subj_net_files_2)
#fc_com_1_sig = fc_com_1[names(which(fc_schaef400_7_com_gps$fc_gps_df$sig == T))]
#fc_com_2_sig = fc_com_2[names(which(fc_schaef400_7_com_gps$fc_gps_df$sig == T))]
single_multi_acc_com = get_acc_finger(fc_com_1,fc_com_2)
single_multi_acc_com_df = data.frame(atlas = names(single_multi_acc_com$acc), accuracy = single_multi_acc_com$acc, FC_GPS_sig = fc_schaef400_7_com_gps$fc_gps_df$sig == T)
p = ggplot(data=single_multi_acc_com_df, aes(x=reorder(atlas, accuracy), y=accuracy, fill = FC_GPS_sig)) +
geom_bar(stat="identity") +
theme_cowplot() + theme(axis.text.x = element_text(angle = 90, vjust = 0.5)) +
ylab("FC Fingerprint Accuracy") + xlab("")
return(list(df = single_multi_acc_com_df, plot = p))
}
s400_fc_com_acc$plot / s200_fc_com_acc$plot

atlas_now
[1] "schaefer400x7"
---
title: "Functional Connectivity Fingerprinting"
output:
  html_notebook:
    includes:
      after_body: footer.html
    toc: yes
    toc_float:
      toc_collapsed: yes
---
`r Sys.time()`

Author: [Cedric Huchuan Xia](https://www.pennlinc.io/team/Cedric-Huchuan-Xia) ([email](hxia@upenn.edu), [github](https://github.com/cedricx/))

Affiliation: Penn Lifespan Informatics and Neuroimaging Center ([PennLINC](pennlinc.io)) 

***

### 1. Setup Environment 
```{r load libraries, message=FALSE}
require(reshape2)
require(sna)
require(tidyr)
```

```{r define paths}
project_path = "~/Documents/xia_gps/"
data_path = file.path(project_path,"data/flywheel_data/network_txt")

```

### 2. Setup Target and Database FC
```{r}

atlases = c("HarvardOxford","desikanKilliany","aal116","schaefer200x7","power264","gordon333","glasser360","schaefer400x7")
subj_net_files_1 = list()
subj_net_files_2 = list()

for (atlas in atlases) {
  subjects = list.files(file.path(data_path))
  for (subj in subjects) {
    subj_files = list.files(file.path(data_path,subj))
    net_pattern_1 = paste0("*task-rest*single*",atlas,"*")
    net_pattern_2 = paste0("*task-rest*multi*",atlas,"*")
    
    file_path_1 = file.path(data_path, 
                            subj,subj_files[grep(glob2rx(net_pattern_1),subj_files)])
    file_path_2 = file.path(data_path, 
                            subj,subj_files[grep(glob2rx(net_pattern_2),subj_files)])
    
    if (length(file_path_1)>0) {subj_net_files_1[[atlas]][[subj]] = read.table(file_path_1) }
    if (length(file_path_2)>0) {subj_net_files_2[[atlas]][[subj]] = read.table(file_path_2) }
  }
}
```


#### Visutalize FC matrix
```{r }
matrix_fc = matrix(NA, 264,264)
matrix_fc[lower.tri(matrix_fc, diag = F)] = subj_net_files_1$power264[[1]][,1]
matrix_fc = symmetrize(matrix_fc, rule = "lower")
levelplot(matrix_fc,scales=list(draw=FALSE),col.regions = rev(rainbow(80))[-c(1:5)], region =T, ylab.right = "Pearson correlation", main=list(label='Singleband FC'),xlab="",ylab="")
```




### 4. Create Subj Similarity Matrix
```{r GPS similarity matrix}
gps_wide_matrix = data.frame()

for (subj in arrange(subj_days,`Days Collected`)$IID){
  #if ((subj %in% subj_days$IID[which(subj_days$`Days Collected`<=10)]) == T) {
    for (part in 1:1){
      half_1 = gps_clean2_feature$subj_mat_1[[subj]][[part]]$cor
      half_2 = gps_clean2_feature$subj_mat_2[[subj]][[part]]$cor
      half_1_half_2 = c(half_1,half_2)
      gps_wide_matrix = rbind(gps_wide_matrix,half_1)
      gps_wide_matrix = rbind(gps_wide_matrix,half_2)
      }
    #}
}

gps_wide_matrix = t(gps_wide_matrix)
gps_corplot = rquery.cormat(gps_wide_matrix, type = "full",graph=FALSE)
gps_corplot$subj = arrange(subj_days,`Days Collected`)$IID

levelplot(gps_corplot$r,scales=list(draw=FALSE),col.regions = rev(rainbow(1000))[-c(1:20)], region =T, ylab.right = "Pearson correlation", main=list(label='GPS Feature Similarity'),xlab="",ylab="")
```

```{r FC calculate between-atlas similarity matrix}

sim_plots = function(subj_seq, ids,atlases, subj_net_files_1, subj_net_files_2){
  fc_widematrix = list()
  fc_corplot = list()
  for (atlas in atlases){
    print(paste("atlas:", atlas))
      for (subj in subj_seq){
          #print(subj)
          subj_id = as.character(ids[ids$beiweID == subj,'BBLID'])
          #print(subj_id)
          fc_1 = unlist(subj_net_files_1[[atlas]][[subj_id]]$V1)
          fc_2 = unlist(subj_net_files_2[[atlas]][[subj_id]]$V1)
          
          fc_widematrix[[atlas]] = cbind(fc_widematrix[[atlas]],fc_1)
          fc_widematrix[[atlas]] = cbind(fc_widematrix[[atlas]],fc_2)
          #print(dim(fc_widematrix[[atlas]])[2])
      }
      print(dim(fc_widematrix[[atlas]])[2])
      fc_corplot[[atlas]]$sim_mat = rquery.cormat(fc_widematrix[[atlas]], type = "full",graph=FALSE)
      fc_corplot[[atlas]]$subj = subj_seq
      fc_corplot[[atlas]]$plot = levelplot(fc_corplot[[atlas]]$sim_mat$r,scales=list(draw=FALSE),col.regions = rev(rainbow(100))[-c(1:20)], region =T, ylab.right = "Pearson correlation", main=list(label=paste('FC Similarity Matrix \n ', atlas)),xlab="Subjects",ylab="Subjects")
  }
  return(fc_corplot)
}

subj_seq = gps_corplot$subj
fc_corplot = sim_plots(subj_seq, ids, atlases, subj_net_files_1, subj_net_files_2)
```
```{r}
fc_corplot$schaefer400x7$plot
```

```{r}
fc_corplot$schaefer200x7$plot
```

```{r}
fc_corplot$power264$plot
```


### 5. Create FC Atlas Similarity Matrix

```{r calculate similiary matrix between atlases}
fc_cor_r = lapply(fc_corplot, function(atlas) atlas$sim_mat$r[lower.tri(atlas$sim_mat$r)])
fc_cor_r_cor = lapply(fc_cor_r, function(r1) sapply(fc_cor_r, function(r2) cor.test(r1,r2)))
fc_cor_r_cor_mat = sapply(fc_cor_r_cor, function(atlas) atlas['estimate',])

levelplot(fc_cor_r_cor_mat,col.regions = rev(rainbow(100))[-c(1:20)], 
          region =T, ylab.right = "Pearson correlation", 
          main=list(label=paste('FC Atlas Similarity Matrix')), xlab="",ylab="", 
          scales=list(x=list(at = 1:length(atlases), labels=atlases,rot=90, tck = 0),
                              y=list(at = 1:length(atlases),labels=atlases, tck = 0)))

```
### 6. Compute Whole Brain FC-GPS Similarity Matrix Correlations

```{r compare FC and GPS similarity matrix}
wbFC_gps_cor = unlist(sapply(fc_cor_r, function(atlas) cor.test(atlas, gps_corplot$r[lower.tri(gps_corplot$r)]))[c('estimate'),])
wbFC_gps_cor_df = data_frame(atlas = gsub("\\..*","",names(wbFC_gps_cor)), corr = wbFC_gps_cor)
p = ggplot(data=wbFC_gps_cor_df, aes(x=atlas, y=corr)) +
  geom_bar(stat="identity") + scale_y_continuous(limits=c(-0.5,0.5)) +
  theme_cowplot() + theme(axis.text.x = element_text(angle = 45, vjust = 0.5)) +
  ylab("FC-GPS Similarity Matrices Correlatons") + xlab("")
p
```

### 7. Compute Community-Level FC-GPS Similarity Matrix Correlations


```{r helper functions for get specific part of brain}
vector_to_mat = function(fc_vector, method = "half"){
  
  if (method == "full"){
    num_node = sqrt(length(fc_vector))
    matrix_fc = matrix(NA, num_node, num_node)
    matrix_fc = matrix(fc_vector, num_node, num_node)
  } else if (method == "half"){
    num_node = ceiling(sqrt(length(fc_vector)*2))
    matrix_fc = matrix(NA, num_node, num_node)
    matrix_fc[lower.tri(matrix_fc, diag = F)] = fc_vector
  } else if (method == "half+d") {
    num_node = floor(sqrt(length(fc_vector)*2))
    matrix_fc = matrix(NA, num_node, num_node)
    matrix_fc[lower.tri(matrix_fc, diag = T)] = fc_vector
  }
  
  matrix_fc = symmetrize(matrix_fc, rule = "lower")
  return(matrix_fc)
}

get_fc_com = function(atlas_now, subj_net) {
  com_nums = read.table(file.path(atlas_path,atlas_now,paste0(atlas_now,"CommunityAffiliation.1D")))$V1
  com_names = read.table(file.path(atlas_path,atlas_now,paste0(atlas_now,"CommunityNames.txt")))$V1
  com_names = substr(com_names,0,3)
  if (atlas_now == "power264") {com_names[c(1,2)] = c("smH","smM")}
  fc_mat_now_all = list()
  com_name_vec = c()
  for (net_1 in 1:max(com_nums)){
    node_now_1 = which(com_nums == net_1)
    net_name_1 = com_names[net_1]
    for (net_2 in 1:max(com_nums)){
      node_now_2 = which(com_nums == net_2)
      net_name_2 = com_names[net_2]
      network_now = paste(net_name_1,net_name_2,sep="-")
      com_name_vec = c(com_name_vec,network_now)
      for (subj in subjects) {
      fc_mat = vector_to_mat(subj_net[[atlas_now]][[subj]]$V1)
      fc_mat_now = fc_mat[node_now_1,node_now_2]
      fc_mat_now = fc_mat_now[lower.tri(fc_mat_now)]
      fc_mat_now_all[[network_now]][[subj]]$V1 = as.vector(fc_mat_now)
      }
    }
  }
  com_name_mat = vector_to_mat(com_name_vec, "full")
  com_name_vec_short = com_name_mat[lower.tri(com_name_mat, diag = T)]
  fc_mat_now_all_short = fc_mat_now_all[names(fc_mat_now_all) %in% com_name_vec_short]   
  return(fc_mat_now_all_short)
}


fc_com_gps = function(subj_net_files_1,subj_net_files_2,atlas_now){
  atlas_path = "/Users/hxia/Documents/GitHub/xcpEngine/atlas"
  fc_com_1 = get_fc_com(atlas_now, subj_net = subj_net_files_1)
  fc_com_2 = get_fc_com(atlas_now, subj_net = subj_net_files_2)
  fc_com_corplot = sim_plots(subj_seq, ids,names(fc_com_1) , fc_com_1, fc_com_2)
  fc_com_cor_r = lapply(fc_com_corplot, function(atlas) atlas$sim_mat$r[lower.tri(atlas$sim_mat$r)])
  fc_com_gps_pvalue = unlist(sapply(fc_com_cor_r, function(atlas) cor.test(atlas, gps_corplot$r[lower.tri(gps_corplot$r)]))[c('p.value'),])
  fc_com_gps_cor = unlist(sapply(fc_com_cor_r, function(atlas) cor.test(atlas, gps_corplot$r[lower.tri(gps_corplot$r)]))[c('estimate'),])
  fc_com_gps_cor_df = data_frame(atlas = gsub("\\..*","",names(fc_com_gps_cor)), corr = fc_com_gps_cor, p_val = fc_com_gps_pvalue )
  fc_com_gps_cor_df$p_val_adj = p.adjust(fc_com_gps_cor_df$p_val,method = "bonferroni")
  fc_com_gps_cor_df$sig = fc_com_gps_cor_df$p_val_adj< 0.05
  p = ggplot(data=fc_com_gps_cor_df, aes(x=reorder(atlas, -corr), y=corr, fill = sig)) +
    geom_bar(stat="identity") + scale_y_continuous(limits=c(-0.5,0.5)) +
    theme_cowplot() + theme(axis.text.x = element_text(angle = 90)) +
    ylab("FC-GPS Similarity Matrices Correlatons") + xlab("") + ggtitle(atlas_now) + theme(plot.title = element_text(hjust = 0.5))
  return(list(fc_corplot = fc_com_corplot, fc_gps_df = fc_com_gps_cor_df, plot = p, com_names = com_names))
}
```



```{r}
fc_schaef200_7_com_gps = fc_com_gps(subj_net_files_1,subj_net_files_2,"schaefer200x7")
fc_power_com_gps = fc_com_gps(subj_net_files_1,subj_net_files_2,"power264")
fc_schaef400_7_com_gps = fc_com_gps(subj_net_files_1,subj_net_files_2,"schaefer400x7")
fc_schaef400_7_com_gps$fc_corplot$`vis-dor`$plot
```

```{r fig.height=6, fig.width=5}
fc_schaef200_7_com_gps$plot / fc_schaef400_7_com_gps$plot / fc_power_com_gps$plot
```

```{r make things to mat, fig.height=4, fig.width=4}
fc_com_gps_out_corplot = function(fc_com_gps_out, title) {
  vector_to_mat(fc_com_gps_out$fc_gps_df$atlas,"half+d")
  com_gps_corr_mat = vector_to_mat(fc_com_gps_out$fc_gps_df$corr,"half+d")
  com_names = fc_com_gps_out$com_names
  rownames(com_gps_corr_mat) = com_names
  colnames(com_gps_corr_mat) = com_names
  com_gps_pval_mat = vector_to_mat(fc_com_gps_out$fc_gps_df$p_val_adj,"half+d")
  col2 <- colorRampPalette(c("#67001F", "#B2182B", 
                             "#FFFFFF", 
                             "#2166AC", "#053061"))
corrplot(com_gps_corr_mat, type="full",method="color", cl.lim = c(-0.2,0.2), tl.col="black", 
           p.mat = com_gps_pval_mat, sig.level = 0.05, insig = "blank", 
           col = rev(col2(200)), title = title)

}
```


```{r message=FALSE, warning=FALSE}
 fc_com_gps_out_corplot(fc_schaef200_7_com_gps, "schaef200")

```

```{r}
fc_com_gps_out_corplot(fc_schaef400_7_com_gps, "schaef400") 
```

```{r}
fc_com_gps_out_corplot(fc_power_com_gps, "power264")
```

### 7. Match FC target to database

```{r}

get_acc_finger = function(subj_net_files_1,subj_net_files_2){
  cor_df = list()
  atlases = names(subj_net_files_1)
  acc = array()
  for (atlas in atlases) {
    cor_match = list()
    subj_net_files_atlas_1 = subj_net_files_1[[atlas]]
    subj_net_files_atlas_2 = subj_net_files_2[[atlas]]
    cor_match[[atlas]] = lapply(subj_net_files_atlas_1, function(subj_cor_1) sapply(subj_net_files_atlas_2, function(subj_cor_2) cor(subj_cor_1$V1, subj_cor_2$V1, use = "na.or.complete")))
    acc[atlas] = 0
    cor_list = list()
    for(subj in names(cor_match[[atlas]])) {
       position = which.max(unlist(cor_match[[atlas]][[subj]]))
       cor_list[[atlas]][[subj]] = max(unlist(cor_match[[atlas]][[subj]]))
       predicted_subj = subjects[position]
       if (predicted_subj == subj) {
            acc[atlas]= acc[atlas] + 1
          }
    }
    
    cor_df[[atlas]] = data.frame(bblid = as.numeric(names(cor_list[[atlas]])), finger = unlist(cor_list[[atlas]]))
    acc[atlas] = acc[atlas]/length(cor_match[[atlas]])
  }
    acc = acc[-1]
    return(list(cor_df = cor_df, acc = acc))
  }

single_multi_acc = get_acc_finger(subj_net_files_1,subj_net_files_2)
single_multi_acc_df = data.frame(atlas = names(single_multi_acc$acc), accuracy = single_multi_acc$acc)
p = ggplot(data=single_multi_acc_df, aes(x=reorder(atlas, accuracy), y=accuracy)) +
  geom_bar(stat="identity") +
  theme_cowplot() + theme(axis.text.x = element_text(angle = 45, vjust = 0.5)) +
  ylab("FC-GPS Similarity Matrices Correlatons") + xlab("")
p


psych_sum_finger = inner_join(cor_df,psych_sum, by = c('bblid' = 'BBLID'))

fit = lm( acc ~ finger +  sum_als + days, data = psych_sum_finger)
summary(fit)
```


### 8. Permutation Test for Matching
```{r}
get_subj_net_perm = function(subj_net_files){
  subj_net_perm = list()
  atlases = names(subj_net_files)
  for (atlas in atlases){
    random_seq = sample(length(subj_net_files[[atlas]]))
    subj_net_perm[[atlas]] = subj_net_files[[atlas]][random_seq]
    names(subj_net_perm[[atlas]]) = names(subj_net_files[[atlas]])
  }
  return(subj_net_perm)
}

subj_net_perm_1 = get_subj_net_perm(subj_net_files_1)
subj_net_perm_2 = get_subj_net_perm(subj_net_files_2)

```

```{r}
perm_time = 1000
single_multi_acc_perm = list()
for (i in 1:perm_time){
  print(i)
  subj_net_perm_1 = get_subj_net_perm(subj_net_files_1)
  subj_net_perm_2 = get_subj_net_perm(subj_net_files_2)
  single_multi_acc_perm[[i]] = get_acc_finger(subj_net_perm_1,subj_net_perm_2)
  print(single_multi_acc_perm[[i]]$acc)
}

```

```{r}
perm_acc = as.data.frame(t(sapply(single_multi_acc_perm, function(perm) perm$acc)))
perm_acc_long <- gather(perm_acc, key = "atlas", value = "accuracy", all_of(atlases), factor_key=TRUE)
p<-ggplot(perm_acc_long, aes(x=atlas, y=accuracy, fill = atlas)) + 
   geom_jitter(show.legend = F) + scale_y_continuous(limits=c(-0.1,0.5)) +
   ggtitle("Permutation Test for FC Fingerprinting") + theme_cowplot() + theme(axis.text.x = element_text(angle = 45, vjust = 0.5))
p
```

```{r use only the GPS-FC significant networks to predict individuals}
get_com_fc_accuracy = function(atlas_now){
  fc_com_1  = get_fc_com(atlas_now, subj_net_files_1)
  fc_com_2  = get_fc_com(atlas_now, subj_net_files_2)
  #fc_com_1_sig = fc_com_1[names(which(fc_schaef400_7_com_gps$fc_gps_df$sig == T))]
  #fc_com_2_sig = fc_com_2[names(which(fc_schaef400_7_com_gps$fc_gps_df$sig == T))]
  single_multi_acc_com = get_acc_finger(fc_com_1,fc_com_2)
  single_multi_acc_com_df = data.frame(atlas = names(single_multi_acc_com$acc), accuracy = single_multi_acc_com$acc, FC_GPS_sig = fc_schaef400_7_com_gps$fc_gps_df$sig == T)
  p = ggplot(data=single_multi_acc_com_df, aes(x=reorder(atlas, accuracy), y=accuracy, fill = FC_GPS_sig)) +
    geom_bar(stat="identity") +
    theme_cowplot() + theme(axis.text.x = element_text(angle = 90, vjust = 0.5)) +
    ylab("FC Fingerprint Accuracy") + xlab("")

return(list(df = single_multi_acc_com_df, plot = p))
}
s400_fc_com_acc = get_com_fc_accuracy("schaefer400x7")
s200_fc_com_acc = get_com_fc_accuracy("schaefer200x7")
```

```{r fig.height=3, fig.width=4}

s400_fc_com_acc$plot / s200_fc_com_acc$plot
```


```{r irritability and specific networks}
s400_fc_com_acc_subset = subset(s400_fc_com_acc$df, FC_GPS_sig == T)
s400_fc_com_1  = get_fc_com("schaefer400x7", subj_net_files_1)
s400_fc_com_2  = get_fc_com("schaefer400x7", subj_net_files_2)
motion_files_1 = list()
motion_files_2 = list()
atlas_now = "schaefer400x7"
subjects = list.files(file.path(data_path,"../","quality_csv"))
for (subj in subjects) {
  subj_files = list.files(file.path(data_path,"../","quality_csv", subj))
  motion_1 = paste0("*task-rest*single*")
  motion_2 = paste0("*task-rest*multi*")
  
  file_path_1 = file.path(data_path, "../","quality_csv",
                          subj,subj_files[grep(glob2rx(motion_1),subj_files)])
  file_path_2 = file.path(data_path, "../","quality_csv",
                          subj,subj_files[grep(glob2rx(motion_2),subj_files)])
  if (length(file_path_1)>0) {motion_files_1[[subj]] = read.table(file_path_1) }
  if (length(file_path_2)>0) {motion_files_2[[subj]] = read.table(file_path_2) }
}


get_net_subj_df = function(net) {
  net_subj = sapply(net, function(subj) mean(subj$V1))
  net_subj_df = data.frame(subj = as.numeric(names(net_subj)), mean = net_subj)
  return(net_subj_df)
}

s400_fc_com_mean_1 = lapply(s400_fc_com_1[s400_fc_com_acc_subset$atlas], function(net) get_net_subj_df(net))
s400_fc_com_mean_2 = lapply(s400_fc_com_2[s400_fc_com_acc_subset$atlas], function(net) get_net_subj_df(net))

s400_fc_com_mean_1_gps = lapply(s400_fc_com_mean_1, function(net) inner_join(psych_sum, net, by = c("BBLID" = "subj")))

  #fc_com_1_sig = fc_com_1[names(which(fc_schaef400_7_com_ gps$fc_gps_df$sig == T))]
  #fc_com_2_sig = fc_com_2[names(which(fc_schaef400_7_com_gps$fc_gps_df$sig == T))]
  single_multi_acc_com = get_acc_finger(fc_com_1,fc_com_2)
  single_multi_acc_com_df = data.frame(atlas = names(single_multi_acc_com$acc), accuracy = single_multi_acc_com$acc, FC_GPS_sig = 
```


A work by Cedric Huchuan Xia
hxia@upenn.edu